20 beste Stellen als e learning in dresden – aktuell auf Personalsuche

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e learning jobs near dresden

Research Associate / PhD Student / PostDoc (m/f/x)

Technische Universität Dresden -
Dresden

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Details zur Stelle

Vollzeit
vor 2 Stunden

Qualifikationen

Informatik
Master
Bachelor
Graphdatenbanken

Vollständige Stellenbeschreibung

Vacancy ID 12943

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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology, diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Center for Interdisciplinary Digital Sciences (CIDS), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers two full-time positions as

Research Associate / PhD Student / PostDoc (m/f/x)

(subject to personal qualification, employees are remunerated according to salary group E 13 TV-L)

starting November 1, 2026. The positions are limited to two years, with the option of extension. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). A shorter contract term is possible by arrangement. The positions aim at obtaining further academic qualification.

Professional assignment: Chair of Scalable Software Architectures for Data Analytics (Prof. Dr. Michael Färber)

Research areas: Natural Language Processing, Large Language Models, Knowledge Graphs, and related fields (e.g., Graph Machine Learning)

Tasks:

scientific research in at least one of the above-mentioned research areas
collaboration in national and international research projects, possibly with an industrial collaboration
participation in teaching (e. g., seminars; no basic lectures)
presentation and publication of research results in top-tier conferences/journals
co-supervision of Bachelor’s/Master’s students in small projects or theses
assist with proposal writing for research funding, if applicable

Requirements:

university degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Advanced Information Science and Engineering, or a related field
prior research experience (publications, theses, projects) in the above-mentioned research areas is a strong plus
strong interest in foundational research in the above-mentioned research areas
excellent programming skills (experience with deep learning frameworks preferred)
good written and spoken English skills
highly motivated and able to work independently and in teams

The position comes with access to high-performance computing resources and access to training opportunities within ScaDS.AI.

TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.

Application: Please submit your detailed application with the usual documents (e.g., cover letter, CV, and other supporting documents), quoting the job reference "ScaDS.AI Färber E 13" by September 15, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to [email protected] or to:

TU Dresden, ScaDS.AI, Prof. Dr. Michael Färber, Helmholtzstr. 10, 01069 Dresden, Germany.

Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.

TUD is a founding partner in the DRESDEN-concept alliance.

Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website:
https://tu-dresden.de/karriere/datenschutzhinweis.

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